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arXiv 2108.09387eess.SYcs.SY
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等方差非线性系统的观测器设计

Observer Design for Nonlinear Systems with Equivariance

Robert Mahony, Pieter van Goor, Tarek Hamel

摘要:

等方差是许多非线性控制系统的共同和自然属性,特别是那些与机电和导航系统模型相关的系统。这样的系统承认一个对称性,相关的等方差,提供结构,使设计强大的和高性能的观察员。一个关键的见解是使观察者状态位于对称群中,而不是位于系统状态空间中。这使得人们可以定义一个全局定义的内在等变误差,但在定义内部动态的观察员提出了挑战。通过选择的观测器内部模型的系统动态的等变升降机,我们表明,误差动态有一个特别好的形式。将扩展卡尔曼滤波(EKF)方法应用于等变误差状态,得到等变滤波器(EqF)。状态空间流形的几何形状自然地表现为对经典EKF Riccati方程的曲率修正。等变滤波器利用对称性,并尊重等变系统模型的几何形状,并产生高性能的鲁棒滤波器,用于各种机电和导航系统。

英文摘要:

Equivariance is a common and natural property of many nonlinear control systems, especially those associated with models of mechatronic and navigation systems. Such systems admit a symmetry, associated with the equivariance, that provides structure enabling the design of robust and high performance observers. A key insight is to pose the observer state to lie in the symmetry group rather than on the system state space. This allows one to define a globally defined intrinsic equivariant error but poses a challenge in defining internal dynamics for the observer. By choosing an equivariant lift of the system dynamics for the observer internal model we show that the error dynamics have a particularly nice form. Applying the methodology of Extended Kalman Filtering (EKF) to the equivariant error state yields the Equivariant Filter (EqF). The geometry of the state-space manifold appears naturally as a curvature modification to the classical EKF Riccati equation. The equivariant filter exploits the symmetry and respects the geometry of an equivariant system model and yields high performance robust filters for a wide range of mechatronic and navigation systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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